Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/18769
Title: Improved Cuckoo Search (ICS) algorthm for constrained optimization problems
Authors: Bulatovic, Radovan
Bošković, Goran
Savković, Mile
Gašić, Milomir
Issue Date: 2014
Abstract: Constrained optimization is very important issue in engineering design. The problem of constrained optimization contains the objective function with linear and nonlinear constraint equations. In this paper the Improved Cuckoo Search (ICS) algorithm has been applied for solving problems of constrained engineering optimization, which gives better solutions than the standard CS algorithm and the other optimization algorithms used in solving engineering problems from the literature. In the proposed ICS algorithm, dynamic change of parameters of probability and step size is introduced, which are constant in the standard algorithm.
URI: https://scidar.kg.ac.rs/handle/123456789/18769
Type: article
DOI: https://doi.org/10.1590/S1679-78252014000800004
ISSN: 1679-7817
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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